首页|Fault Diagnosis of an Intelligent Building Facility Using Bayesian Networks
Fault Diagnosis of an Intelligent Building Facility Using Bayesian Networks
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国家科技期刊平台
NETL
NSTL
万方数据
There is great significance to diagnose the fault of an intelligent building facility for fault controlling, repairing, eliminating and preventing. As an example, this paper established a Bayesian networks model for fault diagnosis of the refrigeration system of an intelligent building facility, gave the networks parameters, and analyzed the reasoning mechanism. Based on the model, some data was analyzed and diagnosed by adopting Bayesian networks reasoning platform GeNIe. The result shows that the diagnosis effect is more comprehensive and reasonable than the other method.
intelligent building facility, refrigeration system, fault diagnosis, Bayesian networks
ZHANG Qi-ding、XU Jin-yu、BAI Er-lei
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School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi'an 710072, P.R.China
The Engineering Institute, Air Force Engineering University, Xi'an 710038, P.R.China
国家科技期刊平台
NSTL
万方数据
